Fault Classification Model of Rotor Based on Support Vector Machine

Wei Niu; Guo Qing Wang; Zheng Jun Zhai; Juan Cheng

doi:10.4028/www.scientific.net/AMM.66-68.1982

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 66-68Fault Classification Model of Rotor Based on...

Fault Classification Model of Rotor Based on Support Vector Machine

Abstract:

The vibration signals of rotating machinery in operation consist of plenty of information about its running condition, and extraction and identification of fault signals in the process of speed change are necessary for the fault diagnosis of rotating machinery. This paper improves DDAG classification method and proposes a new fault diagnosis model based on support vector machine to solve the problem of restricting the rotating machinery fault intelligent diagnosis due to the lack of fault data samples. The testing results demonstrate that the model has good classification precision and can correctly diagnose faults.

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Periodical:

Applied Mechanics and Materials (Volumes 66-68)

Pages:

1982-1987

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.66-68.1982

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Online since:

July 2011

Authors:

Wei Niu, Guo Qing Wang, Zheng Jun Zhai, Juan Cheng

Keywords:

DDAG, Fault Diagnosis, Support Vector Machine (SVM), Wavelet Packet (WP)

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